by learnwithu · Claude Skill · ★ 638
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紫微斗数命盘解读 skill · 基于 iztro-py 精确排盘,生成可视化命盘 HTML
| Stars | 638 |
| Forks | 89 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 55.2133174534131/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-15 |
| Created | 2026-06-02 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
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mingli-master is 紫微斗数命盘解读 skill · 基于 iztro-py 精确排盘,生成可视化命盘 HTML. It is categorized as a Claude Skill with 638 GitHub stars.
mingli-master is primarily written in Python. It covers topics such as agent-skill, chinese-astrology, claude-skill.
You can find installation instructions and usage details in the mingli-master GitHub repository at github.com/learnwithu/mingli-master. The project has 638 stars and 89 forks, indicating an active community.
mingli-master is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mingli-master on Agent Skills Hub include compose-skill, mingyu, creative-director-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: